How No‑Code Platforms Can Revolutionize Mid‑Office Page Production and Boost Development Efficiency

Background

With e‑commerce traffic growth plateauing, cost‑effective supply‑side upgrades and refined operations are crucial, leading to a surge in B‑side backend demands. Existing development relies heavily on ProCode components, resulting in repetitive low‑level code and bottlenecks, making large‑scale page production difficult.

Problem & Strategy

The goal is to efficiently produce backend pages at scale while ensuring product standards, quality, and consistent experience, freeing developers from labor‑intensive tasks.

Two main ideas are adopted:

Scene‑centric design: Analyze common backend scenarios (form, list, detail) which account for 86% of cases, abstract them into standardized scene descriptions, and design products and pages around these scenes to maximize value and lower marginal costs.

Pipeline‑style production: Treat the entire workflow as an ordered pipeline with multiple roles, standardize each stage’s output, provide role‑specific tools, and optimize the overall chain rather than shifting workload to a single role.

Overall Solution

Collaboration Model Upgrade : Define standard scene specifications, let products design around scenes, pages build from scenes, and APIs derive from scene configurations, reducing translation steps and improving delivery efficiency.

Development Model Upgrade : Enable no‑code UI generation based on scene configurations (including interaction, conditional rendering, data binding) that automatically produce API requirements for backend implementation.

Product Standard & Experience Assurance : Full‑process no‑code development guarantees consistent interaction language and product tone, lowering learning costs and enhancing user experience.

Technical Architecture :

Scene Standardization

Scenes are defined by abstracting common backend UI patterns into template‑level materials (e.g., query forms, tables) and component‑level controls (e.g., employee selector). These materials embed business logic and API contracts, forming a "scene model".

The standardization process includes:

Creating scene specifications through a dedicated group.

Establishing a scene‑deposit mechanism for new or customized scenes.

Building a scene ecosystem that covers the entire backend domain and provides reusable material kits.

Data Standardization

Data standardization revolves around three models: gateway model (uniform response wrapper), scene model (scene‑specific API structures), and business model (domain concepts and fields). These models enable automatic API generation from scene configurations.

Model definition steps:

Gateway model: Fixed structure for all backend APIs.

Scene model: Describes inputs, outputs, and business fields for each scene.

Business model: Defines domain entities and attributes reusable across pages.

Using these models, the platform derives API schemas, and backend teams implement them, while tools assist in mapping legacy or third‑party APIs to the standardized format.

No‑Code Page Production

The core idea is to generate complete functional pages without writing code by leveraging standardized scene materials and data models, which also drive API generation.

Developers only need to configure scene parameters, layout, and interactions; the platform handles UI rendering, data binding, and API integration, dramatically reducing development effort.

Compared with generic low‑code platforms, this solution abstracts non‑UI logic and data handling, eliminating hand‑written code and enabling true end‑to‑end no‑code development.

Key components include:

Standard protocol extending Group Low‑Code and OneAPI 2.0 with scene, business, and gateway models.

R&D assets: scene materials, controls, and data models.

R&D configuration: UI, interaction, and data setup with real‑time preview and mock APIs.

Build & release: Generate schema and code, publish to CDN or as micro‑modules.

Runtime rendering: Engine parses schema, renders layout, executes interactions, and handles API calls.

Backend Development Efficiency Measurement

Existing metrics focus only on code complexity and ignore change impact and cross‑mode comparisons. A new efficiency model is proposed:

Define efficiency indicators and formulas (e.g., efficiency = normalized complexity / total development time).

Improve Hollestad complexity by incorporating diff, dependency, and AST analysis to capture minimal change scope.

Model continuous development and integration time by segmenting activity logs.

Standardize pages across source, low‑code, and no‑code modes for fair complexity comparison.

Establish a full measurement pipeline covering data collection, processing, and reporting.

Results

The no‑code platform was built, supporting over 200 demand projects, covering 96% of scene usage with 25 standard scenes and 39 data models. The Orca‑Efficiency framework measures complete page development and integration, showing a 5× efficiency gain over source code, 1× over low‑code, and an overall 68.6% productivity increase.

Conclusion

Standardized scene and data models enable scalable, high‑efficiency backend page production without code, improve cross‑role collaboration, and provide a quantitative efficiency measurement that guides continuous improvement.